Mixed Marriage and How We Think About Race

Jeff Guo of Wonkblog examines research showing trends in how children of mixed marriages report their own race to the Census Report.

In fact, new immigrants may be assimilating a lot faster than than we had ever thought. A new study this week from economists Brian Duncan, of the University of Colorado, and Stephen Trejo of University of Texas, Austin finds that the descendents of immigrants from Latin-American and Asian countries quickly cease to identify as Hispanic or Asian on government surveys.

The Duncan & Trejo paper can be found here.

More On Poverty and Financial Literacy

Sendhil Mullainathan writes about the lessons the rich can learn from the poor about frugality for the Upshot.

Consider this situation: You’re shopping for headphones. An electronics store has the model you want for $50, a reasonable price. But a sales clerk says: “You know our other branch has this item on sale for $40.” Going to that store will take 30 minutes, and you can’t buy the headphones for that price online. Do you go to the other branch?

Before you answer, consider a slightly modified version of the same situation: Instead of headphones, you are buying speakers. You go to the same store and find the model you want for $400. Again, the price seems reasonable but the sales clerk says it’s on sale at the other branch for $385. What do you do now?

This is covering the same research as the earlier Wonkblog article.

Predicting Crime

Maurice Chammah, writing for The Marshall Project, writes about the St. Louis police departments’ use of crime-predicting software.

HunchLab, produced by Philadelphia-based startup Azavea, represents the newest iteration of predictive policing, a method of analyzing crime data and identifying patterns that may repeat into the future. HunchLab primarily surveys past crimes, but also digs into dozens of other factors like population density; census data; the locations of bars, churches, schools, and transportation hubs; schedules for home games — even moon phases. Some of the correlations it uncovers are obvious, like less crime on cold days. Others are more mysterious: rates of aggravated assault in Chicago have decreased on windier days, while cars in Philadelphia were stolen more often when parked near schools.

H/T Flowing Data

New Quiz: Online Dating

Here is this week’s quiz. I am trying a different format than last week’s. Please let me know which you prefer or if you have any feedback, please e-mail me at ljridley [at] umich [dot] edu.

Online Dating, 2013 & 2015

Online dating and mobile dating app usage in 2013 and 2015.

Who Marries Who?

Bloomberg Business has an interesting (and productivity vortex) interactive chart show who marries who based on profession.

NBER Working Papers

Factors Determining Callbacks to Job Applications by the Unemployed: An Audit Study
by Henry S. Farber, Dan Silverman, Till von Wachter #21689
Abstract; PDF

Maybe Next Month? Temperature Shocks, Climate Change, and Dynamic Adjustments in Birth Rates
by Alan Barreca, Olivier Deschenes, Melanie Guldi #21681
Abstract; PDF

Comparative Advantage, International Trade, and Fertility
by Quy-Toan Do, Andrei A. Levchenko, Claudio Raddatz #21677
Abstract; PDF

Immigration, Human Capital Formation and Endogenous Economic Growth
by Isaac Ehrlich, Jinyoung Kim #21699
Abstract; PDF

Commuting, Migration and Local Employment Elasticities
by Ferdinando Monte, Stephen J. Redding, Esteban Rossi-Hansberg #21706
Abstract; PDF

Taste for Competition and the Gender Gap Among Young Business Professionals
by Ernesto Reuben, Paola Sapienza, Luigi Zingales #21695
Abstract; PDF

Mobile Messaging for Offline Social Interactions: a Large Field Experiment
by Tianshu Sun, Guodong (Gordon) Gao, Ginger Zhe Jin #21704
Abstract; PDF

Caloric Requirements and Food Consumption Patterns of the Poor
by Shari Eli, Nicholas Li #21697
Abstract; PDF

Why did the Democrats Lose the South? Bringing New Data to an Old Debate
by Ilyana Kuziemko, Ebonya Washington #21703
Abstract; PDF

Impacts of Being Downwind of a Coal-Fired Power Plant on Infant Health at Birth: Evidence from the Precedent-Setting Portland Rule
by Muzhe Yang, Shin-Yi Chou #21723
Abstract; PDF

Dynamic Directed Random Matching
by Darrell Duffie, Lei Qiao, Yeneng Sun #21731
Abstract; PDF

The Option Value of Human Capital: Higher Education and Wage Inequality
by Sang Yoon Lee, Yongseok Shin, Donghoon Lee #21724
Abstract; PDF

Work Incentives in the Social Security Disability Benefit Formula
by Gopi Shah Goda, John B. Shoven, Sita Slavov #21708
Abstract; PDF

How Strong are Ethnic Preferences?
by Lars Ivar Oppedal Berge, Kjetil Bjorvatn, Simon Galle, Edward Miguel, Daniel N. Posner, Bertil Tungodden, Kelly Zhang #21715
Abstract; PDF

Bright Minds, Big Rent: Gentrification and the Rising Returns to Skill
by Lena Edlund, Cecilia Machado, Michaela Sviatchi #21729
Abstract; PDF

It’s About Time: Effects of the Affordable Care Act Dependent Coverage Mandate On Time Use
by Gregory Colman, Dhaval Dave #21725
Abstract; PDF

Access to Schooling and the Black-White Incarceration Gap in the Early 20th Century US South: Evidence from Rosenwald Schools
by Katherine Eriksson #21727
Abstract; PDF

Economics of Means-Tested Transfer Programs: Introduction
by Robert Moffitt #21751
Abstract; PDF

Identifying the Cost of a Public Health Success: Arsenic Well Water Contamination and Productivity in Bangladesh
by Mark M. Pitt, Mark R. Rosenzweig, Nazmul Hassan #21741
Abstract; PDF

Short-run Effects of Parental Job Loss on Child Health
by Jessamyn Schaller, Mariana Zerpa #21745
Abstract; PDF

Human Capital Development and Parental Investment in India
by Orazio Attanasio, Costas Meghir, Emily Nix #21740
Abstract; PDF

Paid Family Leave, Fathers’ Leave-Taking, and Leave-Sharing in Dual-Earner Households
by Ann Bartel, Maya Rossin-Slater, Christopher Ruhm, Jenna Stearns, Jane Waldfogel #21747
Abstract; PDF

Leveraging Lotteries for School Value-Added: Testing and Estimation
by Joshua Angrist, Peter Hull, Parag A. Pathak, Christopher Walters #21748
Abstract; PDF

Declining Wealth and Work Among Male Veterans in the Health and Retirement Study
by Alan L. Gustman, Thomas L. Steinmeier, Nahid Tabatabai #21736
Abstract; PDF

The Relationship between Establishment Training and the Retention of Older Workers: Evidence from Germany
by Peter B. Berg, Mary K. Hamman, Matthew M. Piszczek, Christopher J. Ruhm #21746
Abstract; PDF

Promoting Your Research

Philip Cohen of Family Inequality has some suggestions for promoting your research:

These are some basic thoughts for academics promoting their research. You don’t have to be a full-time self-promoter to improve your reach and impact, but the options are daunting and I often hear people say they don’t have time to do things like run a Twitter account or write blogs. Even a relatively small effort, if well directed, can help a lot. Don’t let the perfect be the enemy of the good. It’s fine to do some things pretty well even if you can’t do everything to your ideal standard.

It’s all about making your research better — better quality, better impact. You want more people to read and appreciate your work, not just because you want fame and fortune, but because that’s what the work is for.

Changes in Incarceration Rates

Keith Humphreys, writing for WonkBlog, examines recent changes in the U.S. incarceration rates:

After decades of growth, the U.S. imprisonment rate has been declining for the past six years. Hidden within this welcome overall trend is a sizable and surprising racial disparity: African-Americans are benefitting from the national de-incarceration trend but whites are serving time at increasingly higher rates.

Historical Immigration to the U.S.

The University of Richmond Digital Scholarship Lab created an interactive map showing the foreign born population and countries of origin at the county level since 1850.

H/T Urban Demographics

Marriage and Gender Equality

Philip Cohen of Family Inequality charts the correlation between marriage and gender inequality:

I used data from this U.N. report on marriage rates from 2008, restricted to those countries that had data from 2000 or later. To show marriage rates I used the percentage of women ages 30-34 that are currently married. This is thus a combination of marriage prevalence and marriage timing, which is something like the amount of marriage in the country. I got gender inequality from the U.N. Development Programme’s Human Development Report for 2015. The gender inequality index combines the maternal mortality ratio, the adolescent birth rate, the representation of women in the national parliament, the gender gap in secondary education, and the gender gap in labor market participation.